Engineering Manager - Analytics House

The Engineering Manager - Analytics House will be an integral part of our global R&D team.

The Opportunity
The Engineering Manager is a hands-on, player-coach leadership role. You are embedded with your team - daily standup, code review, architectural calls, delivery planning, and performance management - and you own both the team's output and the team's growth.
This is a genuinely technical & leadership role. You are expected to write and review code, be a credible voice in architectural decisions, and stay current in your team's stack. You lead by demonstrating you can do the work at the highest level, not by title alone.
The balance between hands-on contribution and leadership depends on the team's context, but your overarching mandate is the same: run the team, execute and deliver, and grow its impact.
Build the bench, raise the standard, and keep the operating cadence sharp as the work and the organization evolve. You work AI-augmented yourself, expect the same from your team, and push the team's craft forward with every new capability that lands.

Responsibilities

Team leadership & growth

• Leading a team of engineers, owning both its delivery and its development.
• Lead a mindset and process of continuous improvement within the team and meaningfully impact the team’s growth and success over time. Small, compounding improvements, delivered via fast iterations, are the operating rhythm we expect, not an aspiration.
• You are responsible for the professional well-being and career development of team members. Develop engineers through regular 1:1s, growth plans, performance reviews, and direct, candid feedback.
• Develop the next layer of leadership - tech leads, senior engineers ready to manage, and ICs ready to step into staff roles.

Technical leadership

• Write code and review code. Be a credible voice in technical decisions because you have hands in the work, not because of your title - you are current, not rusty.
• Drive the team's architectural and technical design decisions in partnership with senior ICs, ensuring alignment on approach and implementation.
• Uphold engineering standards through thorough, constructive pull-request review and a healthy release process, keeping the team's components scalable and in a healthy state.
• Work AI-augmented and lead an AI-augmented team, applying sharp judgment about where AI helps and holding the same quality bar for what ships.

Roadmap & delivery

• Own the team's commitments - what was promised, when it was promised, and the quality bar that was held.
• Run a disciplined cadence of planning, prioritization, and delivery without becoming a process bureaucrat.
• Partner closely with the Technical Product Owner and Product team on scope, sequencing, and tradeoffs, maintaining a roadmap that reflects both near-term priorities and longer-term direction.
• Understand the broader business objectives behind the work, translate that context for the team, and ensure engineering effort clearly aligns with those objectives.
• React decisively to change - re-planning, re-prioritizing, and re-staffing as the business moves - while keeping the team engaged and steady through the shift.

Hiring

• Own hiring for your team. Interview thoughtfully, decide quickly, and refuse to lower the bar to fill seats.
• Recruit, coach, and - when needed - make hard calls toward the standard the team is held to.
• Operate as a role model for other engineering managers across the organization: share your operating model, mentor peers, and raise the management bench.

Day-to-day communication & collaboration

• Upwards: Communicate clearly and succinctly, giving leadership the right level of context and prioritizing escalations based on relevant, well-gathered information.
• Downwards: Empower senior engineers to own key areas of the product, and coach team members to stay focused, intentional, and aware of their impact.
• Sideways: Partner effectively with Product, Design, GTM, Customer Success, and other teams - raising challenges and opportunities constructively to support cross-team alignment.

Qualifications

• 10+ years of engineering experience , including 4+ years in engineering management roles where you actively coded as part of your responsibilities.
• Hands-on, real-life experience building cloud-based SaaS products - running services in production on AWS, GCP, or Azure , and owning availability, cost, and the customer-facing surface .
• API first mindset, products are built not just for end user experience through UI, they are fully functional and available through APIs, so both humans and agents can interact with the platform
• Strong background in databases, SQL, query optimization, and BigQuery .
• A track record of taking an engineering team and visibly transforming it - measurable improvements in delivery velocity, technical quality, or team caliber.
• Deep technical fluency in your team's primary stack. You can read, write, and review code at a senior level, and you are current - not rusty.
• Strong opinions on how high-performing engineering teams operate, and a clear philosophy on hiring, coaching, performance management, and technical decision-making.
• Excellent judgment under pressure. You make calls quickly with imperfect information, communicate them clearly, and take responsibility for the outcomes.
• Direct, candid communication. You give hard feedback well, and you hear it well.

Bonus Points

• A strong, already-established AI-augmented workflow, with opinions on how to apply AI tools and agentic workflows to raise both velocity and quality.
• Hands-on experience with more than a single cloud provider.
• Background in scaling teams, processes, or technical systems as the organization grows.

Full-time employee benefits include:

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program